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The piece describes a team shifting code review from a final human gate to a continuous process in which an AI model (Claude) reviews changes before a colleague sees them. The claim that most changes are reviewed and fixed by the model first is a description of internal workflow, not independent evidence of quality. Readers evaluating AI coding tools should look for data on defect rates, missed bugs, and how review burden actually shifts across the team.
Source coveringSimon Willison
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Quoting Addy Osmani, Morgan Westlee Lunt, and Qing Wang

Simon Willison1 min read

We think "did a human read the code?" is an imprecise proxy for "what could go wrong with this change,…

Excerpt shown under the publisher's RSS terms · 20 words · full text and figures are on the publisher's site

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